In a recent e‑commerce app, the product list displayed many high‑resolution images causing scrolling lag.

I needed to load images efficiently without blocking the main thread.

Implemented lazy loading using SDWebImage with placeholder images, set the image view's contentMode, and used UITableView's prefetchDataSource to start downloading images before cells appeared.

Scrolling became smooth, memory usage dropped by 30%, and the app received positive performance feedback from users.

During a code review for a networking layer, I needed to decide the appropriate data model type.

Determine whether to use a struct or a class for the response objects.

Explained that structs are value types with copy‑on‑write semantics, offering thread safety and immutability, while classes are reference types supporting inheritance and shared mutable state. Chose structs for simple, immutable DTOs and classes for objects requiring identity or inheritance.

The team adopted structs for API models, reducing bugs related to unintended shared state and improving performance.

Our app needed to open specific product pages from email links.

Implement deep linking that navigates directly to the product fragment.

Added intent filters in the manifest, defined a deep link URI in the navigation graph, used NavController to handle the URI, and passed arguments via safe args.

Users could open product pages directly, increasing conversion rates by 12% and reducing support tickets about navigation errors.

We were building a social media app targeting both platforms with a single codebase.

Maintain a native look and feel while sharing most UI components.

Used platform‑specific style sheets with the Platform module, leveraged native UI libraries (e.g., react-native-paper for Android, react-native-ios-kit for iOS), implemented adaptive layouts with Flexbox, and performed device‑specific testing with Storybook.

The app achieved a 95% UI consistency score in user testing and reduced development time by 30% compared to separate native implementations.

During a sprint review, a senior engineer pointed out that my network layer lacked proper error handling.

Address the feedback, improve robustness, and prevent future oversights.

Reviewed the feedback calmly, asked clarifying questions, refactored the code to include comprehensive try‑catch blocks, added unit tests for error scenarios, and documented the error handling strategy.

The revised module passed all integration tests, reduced crash reports by 40%, and earned positive acknowledgment from the team.

The design team delivered a high‑fidelity mockup for a new onboarding flow.

Implement the design accurately while maintaining performance and accessibility.

Held a kickoff meeting to clarify interactions, used Zeplin to extract assets and spacing specs, implemented Auto Layout constraints on iOS and ConstraintLayout on Android, added accessibility labels, and performed iterative reviews with designers.

The final screens matched the design 98% on pixel‑perfect checks, received a 4.8/5 user satisfaction rating in beta, and were shipped on schedule.

Users reported intermittent lag during scrolling in a news feed feature.

Identify and eliminate the cause of UI jank.

Used Android Profiler and Xcode Instruments to capture frame rendering times, identified expensive layout passes caused by nested RecyclerView adapters, optimized view holder binding, introduced DiffUtil, and applied lazy loading for images. Also added a performance test suite with Firebase Test Lab.

Frame drops reduced from 15% to under 2%, and average scroll smoothness improved to 60fps across devices.

Our app’s data layer relied heavily on REST APIs, making flaky tests a risk.

Create reliable unit tests that isolate network logic.

Abstracted networking into a protocol, used dependency injection to inject mock implementations, employed libraries like MockWebServer (Android) and OHHTTPStubs (iOS) to simulate responses, and wrote tests covering success, error, and timeout scenarios.

Test suite achieved 85% coverage of the data layer, reduced CI build failures by 90%, and accelerated development confidence.